Mayo Clinic's John Halamka "Pulls Back the Curtain" on Machine Learning
Mayo Clinic Platform
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Contributed by: Kate Gamble
Summary
Mayo Clinic has launched a new series intended to clarify machine learning (ML) and related technologies for healthcare professionals and patients, using an analogy from "The Wizard of Oz" to illustrate the unveiling of complex systems. The initiative aims to bridge communication gaps among clinicians, patients, and technologists by explaining how ML diverges from traditional artificial intelligence, which relies on explicit programming. The article details the transition to data-driven learning exemplified by Google's AlphaZero, and outlines the three main types of machine learning: supervised, unsupervised, and reinforcement learning, emphasizing their applications in developing diagnostic tools and understanding data patterns.
